A sentimental analysis based on mental health calculation for Facebook and Twitter users

Abstract

In the entire world, depression is the biggest cause of incapacity. It is important to take the required steps to
regulate and lessen the negative impacts of mental illness. To do this, we'll need to gather and analyse social
media data, identify those who are afflicted, and provide them with appropriate advice depending on the severity
of the issue. We may utilise the sentiment analysis idea to categorise the user's post into positive (alright), neutral
(early stages), and negative categories (ill). Following the identification of the people, we need to provide positive,
calming or motivating messages to users with psychological disorders in order to prevent them from getting into
difficulty in the future.